Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/xsolla/xsolla-ai-kit/copilot-instructionsgit clone --depth 1 https://github.com/xsolla/xsolla-ai-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/xsolla/xsolla-ai-kit/copilot-instructions)<a href="https://agentmods.dev/instructions/xsolla/xsolla-ai-kit/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/xsolla/xsolla-ai-kit/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00241 | $0.00241 |
| Opus 5 | $0.00120 | $0.00120 |
| Sonnet 5 | $0.00048 | $0.00048 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
xsolla-ai-kit copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
GitHub Copilot Instructions — xsolla-ai-kit
This repo contains Xsolla agent skills. You are helping a developer build or integrate Xsolla-powered game commerce features.
Context
- Skills call Xsolla REST APIs at
https://api.xsolla.com - Auth:
Authorization: Basic base64(XSOLLA_API_KEY:) - Environment variables:
XSOLLA_API_KEY,PROJECT_ID,MERCHANT_ID,XSOLLA_ENV - Sandbox fixture project:
173042
Available skills
shop-setup— orchestrates the full zero-to-shop workflowcatalog-design— virtual catalog, items, pricing, bundleslogin-setup— Xsolla Login / NewID authenticationheadless-checkout-integration— Payments via Headless Checkoutwebhooks-impl— webhook handler code generationproduction— sandbox → live go-live checklist
When in doubt
Check skills/<name>/SKILL.md for the detailed workflow for any domain. Check skills/<name>/references/ for deep-dive reference material.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 24 lines · 241 tokens per session scan A b4a09c985b06
xsolla-ai-kit copilot-instructions.md is an instructions file published in the GitHub repository xsolla/xsolla-ai-kit (3 stars, last pushed 17d ago), licensed MIT. It adds 241 tokens to every session, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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